mohamed elhilal tekouk

Automated weekly and monthly dealer reporting with Python, Power BI, and Excel, cutting preparation time from 2 days to 3 hours. Monitored display presence in S/A-grade stores, raising model presence from 78% to 90%+ across priority stores.

Prepared and maintained PSI reports, analyzing distributor inventory and stock coverage to reduce stock risk. Ran fraud and anomaly detection on sales, stock movements, promotions, and distributor data.

Built Power BI and Excel dashboards on retail market performance, tracking volume share, distribution, pricing, and SKU-level KPIs. Delivered market intelligence to major companies on distribution, pricing, and competitive presence in the Algerian retail sector.

Taught data manipulation and visualization in R using Tidyverse packages through real-world case studies. Designed course materials, exercises, and exams using real datasets.

Developed dynamic pricing models using machine learning and deep learning techniques. Defined KPIs to assess trip performance and collaborated with the data science team in Jira.

Collected image data of real and synthetic individuals and built a CNN on top of a pretrained face detection model to classify faces as real or synthetic.

Master's degree in Statistics and Data Science from the Higher National School of Statistics and Applied Economics, Kolea, from 2021 to 2024.

Preparatory cycle for Higher National Schools at the Higher School of Management and Digital Economy, Kolea, from 2019 to 2021.

Completed a course on convolutional neural networks (CNN).

Completed a certification in Power BI.

Completed a programming track covering Python, R, and SQL.